Meet the remarkable Ellen Xu, a 17-year-old inventor from San Diego, who has made a significant stride towards early detection of Kawasaki disease in young kids. Inspired by her sister Kate's battle with the disease, her award-winning innovation is an algorithm that utilizes smartphone photos for diagnosing the disease. "What if we could help aid in the diagnosis of Kawasaki disease through differentiating it from its look-alike diseases?" pondered Xu. She taught her "convolutional neural network," a deep learning-based algorithm mimicking our eye functions, to differentiate this disease from its lookalikes. The invention won her third place and a prize of $150,000 at the prestigious Regeneron Science Talent Search. Embarking on her journey at Stanford University post-graduation, Xu hopes that her algorithm can change lives and curb medical misdiagnoses.
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